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A Survey on Approaches of Object Detection

by Sanjivani Shantaiya, Keshri Verma, Kamal Mehta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Number 18
Year of Publication: 2013
Authors: Sanjivani Shantaiya, Keshri Verma, Kamal Mehta
10.5120/11023-5140

Sanjivani Shantaiya, Keshri Verma, Kamal Mehta . A Survey on Approaches of Object Detection. International Journal of Computer Applications. 65, 18 ( March 2013), 14-20. DOI=10.5120/11023-5140

@article{ 10.5120/11023-5140,
author = { Sanjivani Shantaiya, Keshri Verma, Kamal Mehta },
title = { A Survey on Approaches of Object Detection },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 65 },
number = { 18 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 14-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume65/number18/11023-5140/ },
doi = { 10.5120/11023-5140 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:19:10.934918+05:30
%A Sanjivani Shantaiya
%A Keshri Verma
%A Kamal Mehta
%T A Survey on Approaches of Object Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 18
%P 14-20
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This research paper presents the extensive survey of the state-of-the-art detection of object from video and also classifies the detection approaches into different categories. Detection is generally performed in the context of higher-level applications that require the location and/or shape of the object in every frame. As the detection of objects from vide have progressed significantly in the past few years; human motion and behavior interpretation have naturally become the upcoming step. The research paper includes various approaches that have been used by different researchers for object detection.

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Index Terms

Computer Science
Information Sciences

Keywords

Object detection motion recognition tracking

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